20 Jobs DISAPPEARING NOW Due To AI (New Reports)

1. AI technology is rapidly advancing and will impact jobs.

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AI technology is rapidly advancing and will lead to the disappearance of certain jobs.

• Emerging AI technologies and secret technologies will result in job losses.
• Business leaders predict that AI will replace workers by 2023.

2. Customer service jobs will be replaced by AI chatbots.

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AI chatbots, like Chat GPT, are being used to provide better customer service and replace human agents.

• Chat GPT is capable of providing efficient and realistic customer service responses.
• AI chatbots are being used in email correspondences and writing jobs.

3. Telemarketing jobs will be replaced by AI calling systems.

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AI calling systems can make constant sales calls, follow sales scripts, and never get tired or nervous.

• AI calling systems can make calls 24/7 and save companies money.
• Human impact in telemarketing is still valuable for higher-value deals.

4. Translation jobs will be replaced by AI translation software.

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AI translation software, like 11 Labs, can quickly and accurately translate videos and dub audio into different languages.

• AI translation software can save time and money for companies.
• Human translators may still be needed for legal and highly accurate translations.

5. Entry-level programming and coding jobs will be impacted by generative AI.

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Generative AI can automate entry-level programming and coding tasks, leading to job losses.

• Generative AI forces are reshaping the programming and coding job market.
• Entry-level programming and coding jobs may become less in demand.

6. AI-driven coding assistance is impacting job roles.

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The proliferation of generative AI-driven coding assistance from companies like Microsoft, AWS, Google, and IBM is leading to job cuts in the coding industry.

• A study from Cornell University showed that companies like Overflow are laying off employees due to the rise of AI-driven coding assistance.
• AI systems like Alpha Code 2 have demonstrated impressive performance in competitive programming, outperforming 85% of human coders.

7. Alpha Code 2 has limitations despite its impressive performance.

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Alpha Code 2 relies heavily on trial and error, leading to high operational costs and the need for effective code sample filtering.

• The system is not yet part of any product available for purchase due to high computing costs.
• The Gemini model, expected to be released in 2024, will incorporate some of Alpha Code 2's capabilities.

8. AI can assist in tax-related tasks.

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AI systems like GPT-4 can help with tasks such as understanding dense tax code and calculating liabilities.

• GPT-4 can provide explanations and reasoning behind its calculations, helping users understand complex tax concepts.
• While not a replacement for certified tax professionals, AI can enhance individuals' ability to solve tax-related problems.

9. AI can enhance security processes and threat detection.

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AI systems can sift through vast amounts of data to identify abnormal behavior and detect malicious activities.

• AI-based security systems can automate security processes and improve accuracy and efficiency.
• They can help respond faster to attacks and predict and detect emerging threats.

10. AI-powered security robots are being developed.

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Companies are developing security robots that can patrol areas, identify individuals, and assist in security tasks.

• These robots can be controlled remotely using VR teleop mode.
• While expensive, they offer improved accuracy and efficiency compared to traditional security systems.

11. AI systems can monitor and report illegal activities.

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AI systems equipped with cameras can detect and report illegal activities, such as littering, by capturing evidence and identifying offenders.

• This technology raises concerns about invasion of privacy.
• The use of AI for surveillance is a topic of debate.

12. Autonomous driving technology is still in development.

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Current autonomous driving technology is mostly at level two, with advancements towards level three and four.

• Level three and four systems for highway driving are expected to be more commonly available in private vehicles by 2035.
• There are various challenges to overcome, including traffic management, infrastructure, liability, and social acceptance.

13. Self-driving vehicles face regulatory and acceptance hurdles.

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The legislative and social acceptance of self-driving cars is a major hurdle, with many jurisdictions not permitting their use on public roads.

• The UK government is optimistic about self-driving vehicle deployment, but the transport select committee remains unconvinced.
• Strict legislation and concerns about inequality in the ride-hailing industry pose challenges for developers.

14. AI technology companies are making strides in autonomous driving.

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Companies like Waymo are partnering with ride-hailing platforms to make autonomous vehicles available to users.

• Waymo's autonomous vehicles are currently operating in limited service areas.
• The transition to fully autonomous vehicles still faces challenges such as regulatory hurdles and societal acceptance.

15. Automation is impacting various job sectors.

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AI and robotics are automating jobs in fast food, administration, travel agencies, warehouses, and more.

• Automation technologies are replacing human workers in tasks such as food preparation, data entry, and itinerary planning.
• Certain jobs, like building and construction, are less likely to be automated due to the complexity and dexterity required.

16. AI models need to reduce hallucinations.

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To ensure reliable AI systems, efforts should be made to reduce hallucinations and inaccuracies in AI models.

• Hallucinations in AI models can lead to misinformation and unreliable responses.
• Improving AI models' accuracy and reliability is crucial for their widespread use.

17. AI agents will replace jobs on computers.

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AI agents have the potential to replace any job performed on a computer, from editing videos to sending emails.

• AI agents can perform a wide range of tasks on a computer, making them versatile and capable of replacing human workers.
• The rise of AI agents will lead to significant job loss in computer-based occupations.

18. AI is predicted to automate most jobs in the next 5 years.

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According to Bill Gates, any job on a computer is automatable, and AGI (advanced AI) could automate 80% of all jobs.

• AGI refers to AI systems that are as general as any good human.
• AGI breakthroughs will impact research across all domains, including Robotics.

19. Physical labor jobs will be the last 20% to be automated.

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Once AGI and robotics advance, the remaining jobs that will be automated are the physical labor jobs.

• AGI will bring significant changes, and AI agents will blur the line between human and AI work.
• Links in the description provide information on which jobs will be most exposed to automation.